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Iot Enabled Multienergy Systems From Isolated Energy Grids To Modern Interconnected Networks Mohammadreza Daneshvar

  • SKU: BELL-48317432
Iot Enabled Multienergy Systems From Isolated Energy Grids To Modern Interconnected Networks Mohammadreza Daneshvar
$ 31.00 $ 45.00 (-31%)

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Iot Enabled Multienergy Systems From Isolated Energy Grids To Modern Interconnected Networks Mohammadreza Daneshvar instant download after payment.

Publisher: Elsevier Academic Press
File Extension: PDF
File size: 4.55 MB
Pages: 191
Author: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Amjad Anvari-Moghaddam, (eds.)
ISBN: 9780323954211, 0323954219
Language: English
Year: 2023

Product desciption

Iot Enabled Multienergy Systems From Isolated Energy Grids To Modern Interconnected Networks Mohammadreza Daneshvar by Mohammadreza Daneshvar, Behnam Mohammadi-ivatloo, Kazem Zare, Amjad Anvari-moghaddam, (eds.) 9780323954211, 0323954219 instant download after payment.

IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.

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